🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Models and examples built with TensorFlow

A curated list of awesome Machine Learning frameworks, libraries and software.

Deep Learning for humans

scikit-learn: machine learning in Python

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

End-to-End Object Detection with Transformers

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Keras implementations of Generative Adversarial Networks.

Automated Machine Learning with scikit-learn

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A library for Multilingual Unsupervised or Supervised word Embeddings

Keras community contributions

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Layers Outputs and Gradients in Keras. Made easy.

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

Python bindings for H3, a hierarchical hexagonal geospatial indexing system

Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

Deep Learning Resources and Tutorials using Keras and Lasagne

Track and predict the energy consumption and carbon footprint of training deep learning models.

YOLOv2 Object Detection w/ Keras (in just 20 lines of code)

a lightweight transformer library for PyTorch

GradCAM Pytorch